Channel
PLAB, MRCP, MRCS, NBME
@Plab_MRcp
On this record: Topic · Growth · Engagement · Citations · Telegram's recommendations · Cite this entry
69,571subscribers
-313 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001352279921 |
|---|---|
| Type | Channel |
| Username | @Plab_MRcp |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/Plab_MRcp |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 23:51 | 69,571 | +2 |
| 10 Nov 2026, 02:40 | 69,569 | -5 |
| 8 Nov 2026, 13:49 | 69,574 | -13 |
| 7 Nov 2026, 07:26 | 69,587 | -5 |
| 6 Nov 2026, 08:46 | 69,592 | -1 |
| 5 Nov 2026, 07:27 | 69,593 | -12 |
| 4 Nov 2026, 06:37 | 69,605 | +8 |
| 3 Nov 2026, 06:30 | 69,597 | -8 |
| 2 Nov 2026, 07:36 | 69,605 | -1 |
| 1 Nov 2026, 10:11 | 69,606 | +7 |
| 30 Oct 2026, 15:15 | 69,599 | -9 |
| 29 Oct 2026, 16:49 | 69,608 | +4 |
| 28 Oct 2026, 15:18 | 69,604 | +5 |
| 27 Oct 2026, 13:06 | 69,599 | +6 |
| 26 Oct 2026, 12:27 | 69,593 | +13 |
| 25 Oct 2026, 14:36 | 69,580 | -8 |
| 24 Oct 2026, 11:37 | 69,588 | -10 |
| 23 Oct 2026, 09:46 | 69,598 | +2 |
| 22 Oct 2026, 06:37 | 69,596 | +5 |
| 20 Oct 2026, 22:06 | 69,591 | first reading |
Engagement
No public post preview. We read this entry on 11 August 2026 and Telegram serves no public post stream for it — the channel has previews switched off, or it is a group or bot with no readable feed. Views, reactions and engagement rates cannot be measured from the outside for an entry in this state, so we publish none. Subscriber counts above are unaffected.
Mentions
Named by 32 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@Doctors_intraining · 12,39421 postsOsmosis Videos
@Medical_osmosis · 20,96219 postsPATHOMA VIDEOS
@pathomaavideos · 141,82519 postsDr Been
@Dr_beenvideos · 11,74818 postsKAPLAN VIDEOS
@kaplanvideos · 93,03616 postsRadiology
@Radiology_videos · 49,42516 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,64316 postsIncision
@incision_videos · 20,29414 postsPhysiology
@Physiology_videos · 71,40914 postsPaediatrics videos & books
@paedsvideos · 50,19912 postsENT Videos & books
@ENTVideos · 37,59110 postsPharmacology
@pharma_vid · 66,72310 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,5639 postsInternal Medicine Videos & books
@medicinevideoss · 103,1009 postsOphthalmology
@ophthamologyvideos · 32,5279 postsOrthopaedics
@ortho_vid · 29,8989 postsAnesthesia
@anaesthesia_vid · 28,7418 postsDermatology
@dermatology_vid · 29,3638 postsFMGE Dec 2026
@Fmge_Preparation · 13,1798 postsMicrobiology
@microbiology_vid · 57,9298 postsPathology videos & books
@sketchymedical · 90,5758 postsSurgery videos & books
@surgeryvideos · 82,5428 postsPsychiatry
@psychiatry_vid · 23,1817 posts
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@plab2stuff · 6,317#1
@learnultrasoundinitiative · 2,134#2
@MRCPsych · 8,661#3
@generalnursingandmidwifery · 9,355#4
@Boards_BeyondS · 19,281#5
@nursesnote · 14,914#6
@tuto_habtsh_midwifery · 6,622#7
@pharma_vid · 66,723#8
@Respiratory_Courses · 4,473#9
@Medical_Colleges · 12,128#10
@MRCPMRCOGMRCSqualprep · 5,451#11
@neurorad_mustreads · 13,023#12
@GynObsUpdates · 11,534#13
@gync_first · 19,029#14
@mergetakiban · 7,498#15
@gastrointestinal_books · 8,091#16
@hist_first · 21,907#17
@whitearmyofmedicos · 107,703#18
@Respiratory_Care_Global · 17,163#19
@HakimApps_Guideline · 34,129#20
@mdandddm · 1,465#21
@med2013batchslidechannel · 4,623#22
@InternistBatbagy · 2,863#23
@MamaQadiijo · 2,169#24
@history_and_examination · 10,037#25
@HEALTHSCIENCEINFORMATIONexitexam · 5,637#26
@dtunewsmedicine · 9,218#27
@EmbassyofIndiaTashkent · 1,987#28
@astgmuofficial · 5,188#29
@intmed_tash · 5,175#30
@UZDAILY · 3,718#31
@dogs · 6,398,597#32
@hamster_kombat · 19,514,356#33
@blumcrypto · 12,712,250#34
@notcoin · 7,808,013#35
@uzkyomin · 2,678#36
@tomarket_ai · 5,841,109#37
@theyescoin · 5,135,926#38
@UZDAILYNEWSEN · 1,394#39
@tashkentevents · 1,527#40
@yurasumy · 2,661,091#41
@bigroupuzbekistan · 696#42
@aptauzbekistan · 1,144#43
@millatlararoqumita · 41,211#44
@ns_uz · 556#45
@gold_real_estate · 212#46
@proxymtproto · 11,858,776#47
@realtorsguilduz · 752#48
@rieltoryagency · 419#49
@Yunusabad_kvartiry · 352#50
@NewRealtorYun · 1,489#51
@TashkentKoreanChurch · 304#52
@Grand_Capital_group · 1,046#53
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@pharma_vid · 66,723
Telegram ranks this channel #16 of 69 here — alongside 68 others — read 26 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 November 2026 — this entry's latest reading, not the date you are reading this.
“PLAB, MRCP, MRCS, NBME” (@Plab_MRcp), 69,571 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Plab_MRcp.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.